Atmospheric aerosols contribute significantly to the global energy budget by scattering and absorbing solar and terrestrial radiation, which is aerosol radiation interaction. Additionally, aerosols act as cloud condensation nuclei (CCN) in influencing cloud microphysical characteristics known as Aerosol-Cloud Interaction (ACI). Understanding the regional climatology is formidable without precipitation and so does the role of pollutants in ACI. The present work aims to understand the characteristics of aerosols in modulating precipitation and its microphysical processes during monsoon (Jun-Sep) using in-situ disdrometer data, setup at Rourkela (22.2⁰ N and 84.8⁰ E) and ERA5 reanalysis data, by evaluating the impact of aerosols on the raindrop spectrum from 2018 to 2021. To explicitly reflect the variability, the days were divided into polluted (PD) and non-polluted days (NPD) based on the air quality index (AQI). The preliminary results elucidate that PD had more medium and large droplets. PD (NPD) had a high (low) mass-weighted mean diameter (Dm) value, which is 1.8 mm (1.5 mm) and a low (high) normalized intercept parameter (log10Nw) value, which is 3.6 mm–1 m3 (3.9 mm–1 m3). The empirical relation (Z-R) was calculated to see the variation of microphysical properties of raindrops in convective and stratiform precipitations, both PD and NPD. Z-R relation showing that PD (NPD) has larger (smaller) coefficients in both convective, which is 260.07 (156.66), and stratiform, which is 333.95 (186.14). Our results were evident in harmonizing with the existing literature revealing PD had larger droplets with higher CAPE than NPD; however, they contradicted water vapour, opening doors for future studies to conduct generic site studies to sketch the influence of local emissivity factors in ACI.